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Model training method, triple embedding method and device, medium and equipment

A training method and triplet technology, applied in the field of machine learning, can solve the problem that the accuracy of triplet embedding processing needs to be improved

Active Publication Date: 2019-12-20
南京医渡云医学技术有限公司 +1
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AI Technical Summary

Problems solved by technology

[0004] However, in the knowledge map embedding method provided by related technologies, the accuracy of triple embedding processing needs to be improved

Method used

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  • Model training method, triple embedding method and device, medium and equipment
  • Model training method, triple embedding method and device, medium and equipment
  • Model training method, triple embedding method and device, medium and equipment

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Embodiment Construction

[0063] Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concept of example embodiments to those skilled in the art.

[0064] Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided in order to give a thorough understanding of embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced without one or more of the specific details, or other methods, components, means, steps, etc. may be employed. In other instances, well-known methods, ap...

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Abstract

The invention provides a training method of an embedded model of a triple, an embedding method and device of the triple, a computer readable medium and an electronic device, and relates to the technical field of machine learning. The training method of the embedded model of the triple comprises: acquiring N groups of training samples, each group of training samples comprising the triple and the probability that knowledge expressed by the triple is established, and N being an integer larger than 1; inputting the triple in the ith group of training samples into an embedded model, and obtaining aprojection distance Si according to the output of the embedded model, where i is a positive integer less than or equal to N; and determining a loss function of the embedded model according to the probability Pi of the ith group of training samples and the projection distance Si so as to train the embedded model based on the loss function. According to the technical scheme, the information amountobtained after the triad is embedded contains the probability information, the expression accuracy of medical knowledge points can be improved, and the accuracy of triad embedding processing can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of machine learning, in particular, to a training method and device for a triplet embedding model, a triplet embedding method and device, a computer-readable medium, and an electronic device. Background technique [0002] Knowledge Graph (KG for short), or Knowledge Base (KB for short), is a Graph structure that represents knowledge through "entities" and "relationships". The knowledge graph embedding (KGEmbedding) refers to the representation of the "entities" and "relationships" in the knowledge graph with vectors or low-dimensional vectors, so that in reasoning applications based on knowledge graphs, vector calculations can be used instead of symbolic reasoning. That is to say, the triples in the knowledge graph are more suitable for reasoning calculations based on the knowledge graph. [0003] In related technologies, the embedded label model of triples in the knowledge map is regarded as a bin...

Claims

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Application Information

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IPC IPC(8): G06F16/36
CPCG06F16/36
Inventor 王尧李林峰
Owner 南京医渡云医学技术有限公司
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